diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/README.md
index 80aa93d66b8b..593cc4e8b00a 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/README.md
@@ -45,6 +45,7 @@ The namespace exposes the following APIs:
+- [`caxpy( arrays )`][@stdlib/blas/base/ndarray/caxpy]: multiply a one-dimensional single-precision complex floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional single-precision complex floating-point ndarray `y`.
- [`dasum( arrays )`][@stdlib/blas/base/ndarray/dasum]: calculate the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray.
- [`daxpy( arrays )`][@stdlib/blas/base/ndarray/daxpy]: multiply a one-dimensional double-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision floating-point ndarray `y`.
- [`ddot( arrays )`][@stdlib/blas/base/ndarray/ddot]: calculate the dot product of two one-dimensional double-precision floating-point ndarrays.
@@ -54,6 +55,7 @@ The namespace exposes the following APIs:
- [`sasum( arrays )`][@stdlib/blas/base/ndarray/sasum]: calculate the sum of absolute values for all elements in a one-dimensional single-precision floating-point ndarray.
- [`saxpy( arrays )`][@stdlib/blas/base/ndarray/saxpy]: multiply a one-dimensional single-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional single-precision floating-point ndarray `y`.
- [`sdot( arrays )`][@stdlib/blas/base/ndarray/sdot]: calculate the dot product of two one-dimensional single-precision floating-point ndarrays.
+- [`zaxpy( arrays )`][@stdlib/blas/base/ndarray/zaxpy]: multiply a one-dimensional double-precision complex floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision complex floating-point ndarray `y`.
@@ -96,6 +98,8 @@ console.log( objectKeys( ns ) );
+[@stdlib/blas/base/ndarray/caxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/caxpy
+
[@stdlib/blas/base/ndarray/dasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/dasum
[@stdlib/blas/base/ndarray/daxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/daxpy
@@ -114,6 +118,8 @@ console.log( objectKeys( ns ) );
[@stdlib/blas/base/ndarray/sdot]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sdot
+[@stdlib/blas/base/ndarray/zaxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/zaxpy
+
diff --git a/lib/node_modules/@stdlib/ndarray/README.md b/lib/node_modules/@stdlib/ndarray/README.md
index 11ff8acfc027..3c6b58d4658e 100644
--- a/lib/node_modules/@stdlib/ndarray/README.md
+++ b/lib/node_modules/@stdlib/ndarray/README.md
@@ -78,6 +78,7 @@ In addition, the namespace contains the following multidimensional array utility
- [`broadcastArrays( ...arrays )`][@stdlib/ndarray/broadcast-arrays]: broadcast ndarrays to a common shape.
- [`broadcastScalar( value, shape[, options] )`][@stdlib/ndarray/broadcast-scalar]: broadcast a scalar value to an ndarray of a specified shape.
- [`castingModes()`][@stdlib/ndarray/casting-modes]: list of ndarray casting modes.
+- [`colcat( arrays )`][@stdlib/ndarray/colcat]: concatenate a list of one-dimensional or two-dimensional ndarrays as columns.
- [`concat( arrays[, options] )`][@stdlib/ndarray/concat]: concatenate a list of ndarrays along a specified ndarray dimension.
- [`concat1d( ...arrays )`][@stdlib/ndarray/concat1d]: return a one-dimensional ndarray formed by concatenating provided input arguments.
- [`copy( x[, options] )`][@stdlib/ndarray/copy]: copy an input ndarray to a new ndarray having the same shape and data type.
@@ -141,6 +142,7 @@ In addition, the namespace contains the following multidimensional array utility
- [`removeSingletonDimensions( x )`][@stdlib/ndarray/remove-singleton-dimensions]: return a read-only view of an input ndarray with singleton dimensions removed.
- [`reverseDimension( x, dim )`][@stdlib/ndarray/reverse-dimension]: return a **read-only** view of an input `ndarray` in which the order of elements along a specified dimension is reversed.
- [`reverse( x )`][@stdlib/ndarray/reverse]: return a **read-only** view of an input `ndarray` in which the order of elements along each dimension is reversed.
+- [`rowcat( arrays )`][@stdlib/ndarray/rowcat]: concatenate a list of one-dimensional or two-dimensional ndarrays as rows.
- [`safeCasts( [dtype] )`][@stdlib/ndarray/safe-casts]: return a list of ndarray data types to which a provided ndarray data type can be safely cast.
- [`sameKindCasts( [dtype] )`][@stdlib/ndarray/same-kind-casts]: return a list of ndarray data types to which a provided ndarray data type can be safely cast or cast within the same "kind".
- [`shape( x )`][@stdlib/ndarray/shape]: return the shape of a provided ndarray.
@@ -228,6 +230,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/casting-modes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/casting-modes
+[@stdlib/ndarray/colcat]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/colcat
+
[@stdlib/ndarray/concat]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/concat
[@stdlib/ndarray/concat1d]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/concat1d
@@ -354,6 +358,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/reverse]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/reverse
+[@stdlib/ndarray/rowcat]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/rowcat
+
[@stdlib/ndarray/safe-casts]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/safe-casts
[@stdlib/ndarray/same-kind-casts]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/same-kind-casts
diff --git a/lib/node_modules/@stdlib/ndarray/base/README.md b/lib/node_modules/@stdlib/ndarray/base/README.md
index e1d7a69fff66..20195567664c 100644
--- a/lib/node_modules/@stdlib/ndarray/base/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/README.md
@@ -47,6 +47,9 @@ var o = ns;
- [`any( arrays )`][@stdlib/ndarray/base/any]: test whether at least one element in an ndarray is truthy.
- [`assignScalar( arrays )`][@stdlib/ndarray/base/assign-scalar]: assign a scalar value to every element of an output ndarray.
- [`assign( arrays )`][@stdlib/ndarray/base/assign]: assign elements in an input ndarray to elements in an output ndarray.
+- [`atleast1d( arrays )`][@stdlib/ndarray/base/atleast1d]: convert a list of values (scalars and/or ndarrays) to ndarrays having at least one dimension.
+- [`atleast2d( arrays )`][@stdlib/ndarray/base/atleast2d]: convert a list of values (scalars and/or ndarrays) to ndarrays having at least two dimensions.
+- [`atleast3d( arrays )`][@stdlib/ndarray/base/atleast3d]: convert a list of values (scalars and/or ndarrays) to ndarrays having at least three dimensions.
- [`atleastnd( ndims, arrays )`][@stdlib/ndarray/base/atleastnd]: convert a list of values (scalars and/or ndarrays) to ndarrays having at least a specified number of dimensions.
- [`binaryInputCastingDataType( idtype1, idtype2, odtype, policy )`][@stdlib/ndarray/base/binary-input-casting-dtype]: resolve the casting data type for an input ndarray provided to a binary function.
- [`binaryLoopOrder( shape, stridesX, stridesY, stridesZ )`][@stdlib/ndarray/base/binary-loop-interchange-order]: reorder ndarray dimensions and associated strides for loop interchange.
@@ -98,6 +101,7 @@ var o = ns;
- [`everyBy( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/every-by]: test whether all elements in an ndarray pass a test implemented by a predicate function.
- [`every( arrays )`][@stdlib/ndarray/base/every]: test whether every element in an ndarray is truthy.
- [`expandDimensions( x, dim, writable )`][@stdlib/ndarray/base/expand-dimensions]: expand the shape of an array by inserting a new dimension of size one at a specified dimension index.
+- [`falses( dtype, shape, order )`][@stdlib/ndarray/base/falses]: create an ndarray filled with `false` values and having a specified shape and data type.
- [`fillBy( x, fcn[, thisArg] )`][@stdlib/ndarray/base/fill-by]: fill an input ndarray according to a callback function.
- [`fill( x, value )`][@stdlib/ndarray/base/fill]: fill an input ndarray with a specified value.
- [`find( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/find]: return the first element in an ndarray which passes a test implemented by a predicate function.
@@ -190,6 +194,7 @@ var o = ns;
- [`ternaryOutputDataType( xdtype, ydtype, zdtype, policy )`][@stdlib/ndarray/base/ternary-output-dtype]: resolve the output ndarray data type for a ternary function.
- [`ternaryBlockSize( dtypeX, dtypeY, dtypeZ, dtypeW )`][@stdlib/ndarray/base/ternary-tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops.
- [`ternary( arrays, fcn )`][@stdlib/ndarray/base/ternary]: apply a ternary callback to elements in input ndarrays and assign results to elements in an output ndarray.
+- [`tile( x, reps )`][@stdlib/ndarray/base/tile]: return an ndarray created by repeating the elements of an input ndarray a specified number of times along each dimension.
- [`blockSize( dtypes )`][@stdlib/ndarray/base/tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops.
- [`ndarray2array( buffer, shape, strides, offset, order )`][@stdlib/ndarray/base/to-array]: convert an ndarray buffer to a generic array.
- [`toFlippedlr( x )`][@stdlib/ndarray/base/to-flippedlr]: return a new ndarray where the order of elements along the last dimension of an input ndarray is reversed.
@@ -201,6 +206,7 @@ var o = ns;
- [`toUnflattened( x, dim, sizes )`][@stdlib/ndarray/base/to-unflattened]: return a new ndarray in which a specified dimension of an input ndarray is expanded over multiple dimensions.
- [`toUniqueNormalizedIndices( indices, max )`][@stdlib/ndarray/base/to-unique-normalized-indices]: return a list of unique indices after normalizing to the interval `[0,max]`.
- [`transpose( x, writable )`][@stdlib/ndarray/base/transpose]: transpose a matrix (or a stack of matrices).
+- [`trues( dtype, shape, order )`][@stdlib/ndarray/base/trues]: create an ndarray filled with `true` values and having a specified shape and data type.
- [`unaryAccumulate( arrays, initial, clbk )`][@stdlib/ndarray/base/unary-accumulate]: perform a reduction over elements in an input ndarray.
- [`unaryAddonDispatch( addon, fallback )`][@stdlib/ndarray/base/unary-addon-dispatch]: dispatch to a native add-on applying a unary function to an input ndarray.
- [`unaryBy( arrays, fcn, clbk[, thisArg] )`][@stdlib/ndarray/base/unary-by]: apply a unary function to each element in an input ndarray according to a callback function and assign results to elements in an output ndarray.
@@ -292,6 +298,12 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/assign]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assign
+[@stdlib/ndarray/base/atleast1d]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/atleast1d
+
+[@stdlib/ndarray/base/atleast2d]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/atleast2d
+
+[@stdlib/ndarray/base/atleast3d]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/atleast3d
+
[@stdlib/ndarray/base/atleastnd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/atleastnd
[@stdlib/ndarray/base/binary-input-casting-dtype]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/binary-input-casting-dtype
@@ -394,6 +406,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/expand-dimensions]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/expand-dimensions
+[@stdlib/ndarray/base/falses]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/falses
+
[@stdlib/ndarray/base/fill-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/fill-by
[@stdlib/ndarray/base/fill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/fill
@@ -578,6 +592,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/ternary]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/ternary
+[@stdlib/ndarray/base/tile]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/tile
+
[@stdlib/ndarray/base/tiling-block-size]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/tiling-block-size
[@stdlib/ndarray/base/to-array]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/to-array
@@ -600,6 +616,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/transpose]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/transpose
+[@stdlib/ndarray/base/trues]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/trues
+
[@stdlib/ndarray/base/unary-accumulate]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-accumulate
[@stdlib/ndarray/base/unary-addon-dispatch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-addon-dispatch
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/README.md
index abc0e2b8d58f..0c37fc555508 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/README.md
@@ -92,6 +92,7 @@ The namespace exposes the following APIs:
- [`dnanmskminabs( arrays )`][@stdlib/stats/base/ndarray/dnanmskminabs]: compute the minimum absolute value of a double-precision floating-point ndarray according to a mask, ignoring `NaN` values.
- [`dnanmskrange( arrays )`][@stdlib/stats/base/ndarray/dnanmskrange]: calculate the range of a one-dimensional double-precision floating-point ndarray according to a mask, ignoring `NaN` values.
- [`dnanrange( arrays )`][@stdlib/stats/base/ndarray/dnanrange]: compute the range of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.
+- [`dnanrangeabs( arrays )`][@stdlib/stats/base/ndarray/dnanrangeabs]: compute the range of absolute values of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.
- [`dnanstdev( arrays )`][@stdlib/stats/base/ndarray/dnanstdev]: calculate the standard deviation of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.
- [`dnanstdevch( arrays )`][@stdlib/stats/base/ndarray/dnanstdevch]: calculate the standard deviation of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a one-pass trial mean algorithm.
- [`dnanstdevpn( arrays )`][@stdlib/stats/base/ndarray/dnanstdevpn]: calculate the standard deviation of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a two-pass algorithm.
@@ -211,6 +212,7 @@ The namespace exposes the following APIs:
- [`stdevtk( arrays )`][@stdlib/stats/base/ndarray/stdevtk]: calculate the standard deviation of a one-dimensional ndarray using a one-pass textbook algorithm.
- [`stdevwd( arrays )`][@stdlib/stats/base/ndarray/stdevwd]: calculate the standard deviation of a one-dimensional ndarray using Welford's algorithm.
- [`stdevyc( arrays )`][@stdlib/stats/base/ndarray/stdevyc]: calculate the standard deviation of a one-dimensional ndarray using a one-pass algorithm proposed by Youngs and Cramer.
+- [`svariance( arrays )`][@stdlib/stats/base/ndarray/svariance]: calculate the variance of a one-dimensional single-precision floating-point ndarray.
- [`sztest( arrays )`][@stdlib/stats/base/ndarray/sztest]: compute a one-sample Z-test for a one-dimensional single-precision floating-point ndarray.
- [`sztest2( arrays )`][@stdlib/stats/base/ndarray/sztest2]: compute a two-sample Z-test for two one-dimensional single-precision floating-point ndarrays.
- [`variance( arrays )`][@stdlib/stats/base/ndarray/variance]: calculate the variance of a one-dimensional ndarray.
@@ -357,6 +359,8 @@ console.log( objectKeys( ns ) );
[@stdlib/stats/base/ndarray/dnanrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dnanrange
+[@stdlib/stats/base/ndarray/dnanrangeabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dnanrangeabs
+
[@stdlib/stats/base/ndarray/dnanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dnanstdev
[@stdlib/stats/base/ndarray/dnanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dnanstdevch
@@ -595,6 +599,8 @@ console.log( objectKeys( ns ) );
[@stdlib/stats/base/ndarray/stdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/stdevyc
+[@stdlib/stats/base/ndarray/svariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/svariance
+
[@stdlib/stats/base/ndarray/sztest]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/sztest
[@stdlib/stats/base/ndarray/sztest2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/sztest2